Lead Agentic Safety Strategist, Android Trust and Safety

As an Agentic Safety Strategist, you will design for the safety and integrity of autonomous AI agents across the Android platform. Your focus is to bridge the gap between technical agent capabilities and the real-world safety of billions of users. You will be responsible for identifying and mitigating the harms that arise when AI agents interact with the OS and third-party apps—ranging from system-level instability to the creation of harmful synthetic media. By developing robust detection nets and enforcement frameworks, you will ensure that agentic features do not become vectors for abuse.

In this role, you will understand marketplace dynamics. You know how to nudge a third-party developer ecosystem toward safety without breaking the business model. You can speak "LLM" with engineers and "Partnership" with external stakeholders. You understand how AI models can be manipulated at the app layer and how to block those vectors. You will think like a bad actor. You anticipate the next evolution of AI harm and have an execution plan ready before it hits the store.

At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $141000 - $205000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google . Responsibilities

• Be responsible for identifying and mitigating the harms that arise when AI agents interact with the OS and third-party apps—ranging from system-level instability to the creation of harmful synthetic media.

• Develop the "Rules of Engagement" for autonomous agents on Android, ensuring that multi-step plans are audited for safety before execution.

• Implement strict "Least-Privilege" models so agents cannot escalate system permissions or access sensitive user data without explicit, context-aware consent.

• Partner with the Product team to build runtime monitoring that identifies "agentic drift," recursive loops, or adversarial attempts to hijack agent reasoning.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.

• 7 years of experience in data analytics, trust and safety, policy, cybersecurity, or related fields.

Preferred qualifications:

• Master's degree or PhD in a relevant field.

• Education in, or experience with, machine learning.

• Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or experience in a scripting/programming language (e.g. Python).

• Excellent communication and presentation skills (written and verbal) and the ability to influence cross-functionally at various levels.